图像生成 - arXivDaily 专题

2305.15347 2023-11-29 cs.CV 83%

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 23, project page: https://sd-complements-dino.github.io/

2311.15648 2023-11-28 cs.CV cs.AI cs.CL cs.LG cs.RO 83%

Reinforcement Learning from Diffusion Feedback: Q* for Image Search

Aboli Marathe

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2311.12092 2023-11-28 cs.CV 83%

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2210.06462 2023-11-28 cs.CV cs.AI cs.LG 83%

Self-Guided Diffusion Models

Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments CVPR 2023

2311.12847 2023-11-23 cs.CV 83%

CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow

Junlei Zhou, Jiashi Gao, Ziwei Wang, Xuetao Wei

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2311.11590 2023-11-21 cs.CV cs.AI 83%

Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models

Zheyuan Kuang, Jiaxin Zhang, Yiying Huang, Yunqin Li

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments HABITS OF THE ANTHROPOCENE - Proceedings of the 43rd ACADIA Conference - Volume II: Proceedings book one, University of Colorado Denver, Denver, Colorado, USA, 26-28 October 2023, pp. 616-625, CUMINCAD, 2023

2311.11207 2023-11-21 cs.CV cs.AI cs.CE 83%

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

专题命中扩散模型：diffusion(title,abstract)；image editing(abstract)；分类 cs.CV

2311.11164 2023-11-21 cs.CV cs.AI cs.LG 83%

Mitigating Exposure Bias in Discriminator Guided Diffusion Models

Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2311.09753 2023-11-17 cs.CV 83%

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics

Aniket Roy, Maiterya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2311.09355 2023-11-17 cs.CV cs.AI cs.LG 83%

Privacy Threats in Stable Diffusion Models

Thomas Cilloni, Charles Fleming, Charles Walter

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

2311.08199 2023-11-15 eess.IV cs.CV cs.LG 83%

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Robert Harb, Thomas Pock, Heimo Müller

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2305.01855 2023-11-14 cs.CV cs.AI 83%

Multimodal Data Augmentation for Image Captioning using Diffusion Models

Changrong Xiao, Sean Xin Xu, Kunpeng Zhang

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

2305.18292 2023-11-13 cs.CV 83%

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

2305.16397 2023-11-06 cs.CV cs.AI cs.CL 83%

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted to NeurIPS 2023

2303.10834 2023-11-06 cs.CV cs.LG 83%

Object-Centric Slot Diffusion

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted to NeurIPS 2023 as a Spotlight paper

2311.00941 2023-11-03 cs.LG cs.AI cs.CV 83%

Gaussian Mixture Solvers for Diffusion Models

Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments NeurIPS 2023

2311.00932 2023-11-03 cs.CV eess.IV 83%

Towards High-quality HDR Deghosting with Conditional Diffusion Models

Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments accepted by IEEE TCSVT

2311.00618 2023-11-02 cs.CV 83%

De-Diffusion Makes Text a Strong Cross-Modal Interface

Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan Yuille, Jiahui Yu

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Technical report. Project page: https://dediffusion.github.io

2305.10657 2023-11-02 cs.CV 83%

PTQD: Accurate Post-Training Quantization for Diffusion Models

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2023

2307.02770 2023-11-01 cs.CV cs.AI 83%

Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback

TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Published in NeurIPS 2023

2304.06025 2023-11-01 cs.CV 83%

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Project page: https://grail.cs.washington.edu/projects/dreampose/

2310.19248 2023-10-31 cs.CV cs.AI cs.CR 83%

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 21 pages, 11 figures, 9 tables. Accepted by NeurIPS 2023

2305.16289 2023-10-31 cs.CV cs.AI 83%

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

专题命中扩散模型：diffusion(title)；text-to-image(abstract)；image editing(abstract)；分类 cs.CV

Comments Update: replaced Planes dataset with Waterbirds & updated results after bug fix

2305.10855 2023-10-31 cs.CV 83%

TextDiffuser: Diffusion Models as Text Painters

Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)；分类 cs.CV

Comments NeurIPS 2023

2310.13268 2023-10-31 cs.CV cs.LG 83%

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted at NeurIPS 2023

2307.12868 2023-10-30 cs.CV 83%

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh

专题命中扩散模型：diffusion(title,abstract)；image editing(abstract)；分类 cs.CV

Comments This paper has been accepted for NeurIPS 2023

2305.14267 2023-10-27 cs.LG cs.CV cs.NA math.NA 83%

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

Martin Gonzalez, Nelson Fernandez, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 60 pages. Camera-Ready version for the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

2310.16825 2023-10-26 cs.CV cs.CY 83%

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

2310.16167 2023-10-26 cs.CV 83%

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Guler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)；分类 cs.CV

Comments Accepted to SIGGRAPH Asia, 2023 (Conference Papers)

2302.02285 2023-10-26 cs.CV cs.LG 83%

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments ICML 2023

1. 扩散模型 70196 篇

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Reinforcement Learning from Diffusion Feedback: Q* for Image Search

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Self-Guided Diffusion Models

CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow

Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

Mitigating Exposure Bias in Discriminator Guided Diffusion Models

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics

Privacy Threats in Stable Diffusion Models

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Multimodal Data Augmentation for Image Captioning using Diffusion Models

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Are Diffusion Models Vision-And-Language Reasoners?

Object-Centric Slot Diffusion

Gaussian Mixture Solvers for Diffusion Models

Towards High-quality HDR Deghosting with Conditional Diffusion Models

De-Diffusion Makes Text a Strong Cross-Modal Interface

PTQD: Accurate Post-Training Quantization for Diffusion Models

Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

TextDiffuser: Diffusion Models as Text Painters

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval